-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathindex.html
1198 lines (784 loc) · 40.5 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
<!DOCTYPE html>
<html>
<head>
<title> Here is Shaoyu </title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!--网页标题左侧显示-->
<link rel="icon" href="/fish.ico" type="image/x-icon">
<!--收藏夹显示图标-->
<link rel="shortcut icon" href="/fish.ico" type="image/x-icon">
<link rel="stylesheet" href="https://cdn.staticfile.org/font-awesome/4.7.0/css/font-awesome.css">
<link href="https://cdn.staticfile.org/twitter-bootstrap/5.1.1/css/bootstrap.min.css" rel="stylesheet">
<link rel="stylesheet" href="https://lib.baomitu.com/fancybox/3.5.7/jquery.fancybox.min.css">
<script src="https://cdn.staticfile.org/twitter-bootstrap/5.1.1/js/bootstrap.bundle.min.js"></script>
<script src="https://cdn.staticfile.org/jquery/1.10.2/jquery.min.js"></script>
<link rel="stylesheet" href="css/prism.css">
<script src="js/prism.js"></script>
<link rel="stylesheet" href="css/index.css">
<script src="js/search.js"></script>
<script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
<script>
MathJax = {
tex: {
inlineMath: [['$', '$'], ['\\(', '\\)']]
},
svg: {
fontCache: 'global'
}
};
</script>
<script src="//lib.baomitu.com/fancybox/3.5.7/jquery.fancybox.min.js"> </script>
<script src="js/fancybox.js"></script>
<script type="text/javascript">
var search_path = "search.xml";
if (search_path.length == 0) {
search_path = "search.xml";
}
var path = "/" + search_path;
searchFunc(path, 'local-search-input', 'local-search-result');
</script>
<meta name="generator" content="Hexo 5.4.2"></head>
<body>
<!-- 导航栏 -->
<!-- 导航栏 -->
<nav class="navbar navbar-expand-md navbar-dark bg-dark mb-4 pt-2 pb-2">
<div class="container">
<!-- 标题 -->
<a class="navbar-brand navbar-expand-sm" href="/">
<img class="nofancybox" src="/shark.svg" style="width: 65px;">
</a>
<button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbarCollapse"
aria-controls="navbarCollapse" aria-expanded="false" aria-label="Toggle navigation">
<span class="navbar-toggler-icon"></span>
</button>
<!-- 左边右边导航按钮 -->
<div class="collapse navbar-collapse" id="navbarCollapse">
<ul class="navbar-nav me-auto">
<!-- 左右两侧的导航栏 -->
<li class="nav-item">
<a class="nav-link" href="">
<big> <i class="fa fa-home ps-1" ></i> Home</big>
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/note">
<big> <i class="fa fa-file-text-o ps-1" ></i> Notes</big>
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/survey">
<big> <i class="fa fa-globe ps-1" ></i> Surveys</big>
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/paperlist">
<big> <i class="fa fa-cc-discover ps-1" ></i> Paper Lists</big>
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="archives">
<big> <i class="fa fa-archive ps-1" ></i> Archives</big>
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="/about">
<big> <i class="fa fa-user ps-1" ></i> About</big>
</a>
</li>
</ul>
<form class="">
<div class="d-flex">
<button class="btn text-muted fa fa-search d-none d-md-block d-lg-block" disabled></button>
<input id="local-search-input" class="form-control me-2 pe-4" type="search"
placeholder="搜索 " aria-label="Search">
</div>
<div id="local-search-result" style="position:absolute; padding-top: 8px; max-height: 960px; width: 480px;overflow-y: scroll; z-index: 1050;"></div>
</form>
<ul class="navbar-nav">
<!-- 左右两侧的导航栏 -->
</ul>
</div>
</div>
</nav>
<main class="container">
<!-- 主页 -->
<div class="row pt-1">
<!-- 文章 -->
<div id="blog-content" class="col-md-8 col-sm-12" >
<div class="markdown-section">
<div class="">
<!-- 主页 -->
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/paperlistfile/Hotpaper%20in%202021-2022%20(Anomaly%20detection,%20Failure%20detection)/" class="link-dark text-decoration-none title">
Hotpaper in 2021-2022 (Anomaly detection / Failure detection)
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/03/10 00:00:00
-->
<i class="fa fa-pencil"> </i>
2023/07/05 17:28:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/paper-list/" class="link-dark text-decoration-none title">
paper list
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本文整理2021-2022的关注的各大主题的热门论文。记得读后及时做笔记！</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/surveys/transformer_in)time_series/" class="link-dark text-decoration-none title">
Transformer Family on Time series
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/05/30 21:14:00
-->
<i class="fa fa-pencil"> </i>
2023/05/30 21:15:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/transformers/" class="link-dark text-decoration-none title">
transformers
</a>
<a href="tags/survey/" class="link-dark text-decoration-none title">
survey
</a>
<a href="tags/time-series/" class="link-dark text-decoration-none title">
time series
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>当代的时间序列分析任务需要应对各种复杂的数据模式和动态性，传统的统计模型和机器学习方法在处理这些挑战时常常受限。然而，近年来，类Transformer网络在时间序列分析领域取得了显著的突破。Transformer模型的出现为时间序列分析任务提供了一种新的、强大的工具，它能够自适应地捕捉序列中的长期依赖关系，并能够有效地建模非线性和非平稳性特征。</p>
<p>TODO: 完成重点论文和异常检测论文的精读</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/notes/causal_meets_LLM/" class="link-dark text-decoration-none title">
因果推断遇见大模型
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/05/10 19:00:00
-->
<i class="fa fa-pencil"> </i>
2023/05/14 17:30:41
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/causal-discovery/" class="link-dark text-decoration-none title">
causal discovery
</a>
<a href="tags/foundation-model/" class="link-dark text-decoration-none title">
foundation model
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本论坛讨论的议题包括：</p>
<ol>
<li>大模型能够为因果学习带来什么？因果学习能为大模型带来什么</li>
<li>因果推断的在业界的应用现状，业界对因果推断的要求是什么，如何评估因果推断方法的效用</li>
</ol>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/surveys/bilevel_optimization/" class="link-dark text-decoration-none title">
Paradigm of Bi-level Optimization
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/02/16 16:10:00
-->
<i class="fa fa-pencil"> </i>
2023/04/13 15:08:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/survey/" class="link-dark text-decoration-none title">
survey
</a>
<a href="tags/optimization/" class="link-dark text-decoration-none title">
optimization
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本文调研了双层优化问题的解决范式，对两种popular的<strong>基于梯度</strong>的方法——AID、ITD作出介绍与总结。最后，本文对如何利用bilevel optimization解决sim2real问题难点作出梳理。</p>
<p>本调研的motivation来自于<a href="/uncategorized/surveys/sim2real/">sim2real</a>问题——借助少量的仿真数据，如何找到一组仿真器参数$\phi$，在该组参数下的仿真数据上训练一个异常检测模型，将会在现实数据中有较好的效果——这可以类比于一个超参数调优问题。</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/paperlistfile/Hotpaper%20in%202021-2022%20(Root%20Cause,%20Correlation)/" class="link-dark text-decoration-none title">
Hotpaper in 2021-2022 (Root Cause, Correlation)
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2022/04/11 22:08:50
-->
<i class="fa fa-pencil"> </i>
2023/04/04 19:00:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/paper-list/" class="link-dark text-decoration-none title">
paper list
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本文整理2021-2022的关注的各大主题的热门论文。记得读后及时做笔记！</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/surveys/foundation_models/" class="link-dark text-decoration-none title">
Foundation models
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2022/11/21 12:00:00
-->
<i class="fa fa-pencil"> </i>
2023/03/01 15:28:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/survey/" class="link-dark text-decoration-none title">
survey
</a>
<a href="tags/foundation-models/" class="link-dark text-decoration-none title">
foundation models
</a>
<a href="tags/big-models/" class="link-dark text-decoration-none title">
big models
</a>
<a href="tags/NLP/" class="link-dark text-decoration-none title">
NLP
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>这里列出一些近年来关于大模型的总结、调研，还有相关顶会论文。总结顶会论文的原因在于，在我看来大模型（或基础模型）大多都是在工程领域的创新，如何利用工程创新，助力是科学创新。中间的桥梁应该被找到。</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/surveys/nondiff_optimization/" class="link-dark text-decoration-none title">
Optimization for Nondifferentiable Problem
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/02/17 11:10:00
-->
<i class="fa fa-pencil"> </i>
2023/02/21 21:13:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/survey/" class="link-dark text-decoration-none title">
survey
</a>
<a href="tags/optimization/" class="link-dark text-decoration-none title">
optimization
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p><a href="/uncategorized/surveys/bilevel_optimization">上篇</a>调研总结了双层优化问题的解决范式，并梳理了双层优化应用在Sim2real的domain randomization（DR）问题上时的难点在于</p>
<ul>
<li>如何解不可微的外层优化问题</li>
<li><strong>如何转换不可微的外层优化问题为smooth的</strong></li>
</ul>
<p>本文将对其中 “不可微问题的求解” 进行调研。</p>
<p>此外本文也将简要介绍一下关于超参优化（hyperparameter optimization，HO）的内容，调研HO问题的原因是：domain randomization与HO问题具有相似的formulation，但二者又存在区别（最重要的区别在于一般的HO问题是differetiable的，DR问题在没有转换为smooth问题之前是不可微的），因此阅读了一些文献并做了简要总结。</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/surveys/sim2real/" class="link-dark text-decoration-none title">
Sim2Real and Domain Randomization
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/02/06 16:10:00
-->
<i class="fa fa-pencil"> </i>
2023/02/21 20:51:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/survey/" class="link-dark text-decoration-none title">
survey
</a>
<a href="tags/optimization/" class="link-dark text-decoration-none title">
optimization
</a>
<a href="tags/sim2real/" class="link-dark text-decoration-none title">
sim2real
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本文首先对Sim2real问题作出了简要介绍，并简单对其方法作出分类。接着，对于其中的domain randomization方法给出bilevel optimization的形式，最后调研了基于上述优化形式（或类似形式）下的优化问题求解方案。</p>
<p>此外 <a target="_blank" rel="noopener" href="https://lilianweng.github.io/posts/2019-05-05-domain-randomization/">Lilian Weng (Open AI) 的博客</a> 对 DR 问题做了深入探讨，极具价值。</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/notes/NS3/" class="link-dark text-decoration-none title">
NS3无线网络仿真器
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2023/02/07 19:51:00
-->
<i class="fa fa-pencil"> </i>
2023/02/07 21:00:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/note/" class="link-dark text-decoration-none title">
note
</a>
<a href="tags/5G/" class="link-dark text-decoration-none title">
5G
</a>
<a href="tags/4G/" class="link-dark text-decoration-none title">
4G
</a>
<a href="tags/simulator/" class="link-dark text-decoration-none title">
simulator
</a>
<a href="tags/ns3/" class="link-dark text-decoration-none title">
ns3
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本文整理了在用NS3做无线网络仿真的时候，需要掌握的一些基础知识</p>
</div>
</div>
<!-- 标题 -->
<div class="pb-4 tag-hover">
<p class="tag-hover h3">
<a href="uncategorized/notes/3GPP%E4%BD%93%E7%B3%BB/" class="link-dark text-decoration-none title">
3GPP体系
</a>
</p>
<div class="pb-0">
<!--
<i class="fa fa-calendar p-1"></i>
2022/12/23 19:07:00
-->
<i class="fa fa-pencil"> </i>
2022/12/25 21:19:00
<!--
<i class="fa fa-folder-open p-1"> </i>
<span class="tag-hover">
</span>
-->
<i class="fa fa-tag p-1"> </i>
<span class="tag-hover">
<a href="tags/note/" class="link-dark text-decoration-none title">
note
</a>
<a href="tags/5G/" class="link-dark text-decoration-none title">
5G
</a>
<a href="tags/4G/" class="link-dark text-decoration-none title">
4G
</a>
<a href="tags/3GPP/" class="link-dark text-decoration-none title">
3GPP
</a>
</span>
</div>
<div class="pt-3 pe-1">
<!-- 如果有摘要则显示摘要，没有就自己截取 -->
<p>本文主要梳理3GPP在无线通信领域的协议体系，以专家知识赋能「基于3GPP协议语料的foundation model」。初步的,本文将梳理以下几点（持续更新）</p>
<ul>
<li>从RAN出发，对梳理相关专业名词</li>
<li>3GPP相关的协议架构 <ul>
<li>参考：<a target="_blank" rel="noopener" href="https://zhuanlan.zhihu.com/p/102176081">link</a>，对3GPP协议的架构、命名、下载方式等做出了总结 ‼️</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<!-- 页码 -->
<nav class="pt-1 mt-1">
<ul class="pagination justify-content-center new-pagination">
<span class="page-number current">1</span><a class="page-number" href="page/2/">2</a><a class="page-number" href="page/3/">3</a><a class="page-number" href="page/4/">4</a><a class="page-number" href="page/5/">5</a><a class="page-number" href="page/6/">6</a><a class="page-number" href="page/7/">7</a><a class="extend next" rel="next" href="page/2/"><i class="fa fa-angle-double-right"></i></a>
</ul>
</nav>
</div>
</div>
<!-- 侧边栏 -->
<div class="col-md-4 d-none d-md-block ps-0" id='blog-siderbar'>
<div class="markdown-section ps-3 pb-3 pt-3 border-start">
<div class="card mb-3">
<div class="card-header card-header-dark">
<i class="fa fa-clock-o pe-2"></i> 最近文章
</div>
<div class="p-2 tag-hover">
<ul class="list-group border-0">
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/3GPP%E4%BD%93%E7%B3%BB/ ">
<small> 3GPP体系 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/5G_NR/ ">
<small> 5G NR（New Radio）规范 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/AIOps2021%E6%8C%91%E6%88%98%E8%B5%9B/ ">
<small> AIOps 2021挑战赛答辩记录 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/NS3/ ">
<small> NS3无线网络仿真器 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/causal_meets_LLM/ ">
<small> 因果推断遇见大模型 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/alarm_in_4GWAN/ ">
<small> 4GWAN中的告警（alarm）分析 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/linux_server_notes/ ">
<small> linux服务器常用配置 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/graph_model_probability/ ">
<small> Probabilistic Graphical Model </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/hexo_notes/ ">
<small> 本站维护手册 </small>
</a>
<a class="list-group-item border-0 pt-0 pb-0 ps-1 fs-6" href="uncategorized/notes/hugging_face/ ">
<small> Transformers in Hugging Face </small>
</a>
</ul>
</div>
</div>
<!-- 侧边栏 标签 -->
<div class="card mb-3">
<div class="card-header card-header-dark">
<i class="fa fa-tag pe-2"></i> 标签
</div>
<nav class="nav flex-column">
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/transformers/">
transformers
<span class="badge bg-secondary float-end me-2">3</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/toolbox/">
toolbox
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/time-series/">
time series
<span class="badge bg-secondary float-end me-2">6</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/survey/">
survey
<span class="badge bg-secondary float-end me-2">21</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/structural-causal-model/">
structural causal model
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/simulator/">
simulator
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/similarity-learning/">
similarity learning
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/sim2real/">
sim2real
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/self-supervised-learning/">
self-supervised learning
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/root-cause-analysis/">
root cause analysis
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/python/">
python
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/presentation/">
presentation
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/paper-list/">
paper list
<span class="badge bg-secondary float-end me-2">36</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/optimization/">
optimization
<span class="badge bg-secondary float-end me-2">3</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/ns3/">
ns3
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/note/">
note
<span class="badge bg-secondary float-end me-2">16</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/neural-network/">
neural network
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/mixed-sampling-rate/">
mixed sampling rate
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/missing-value/">
missing value
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/micro-service/">
micro-service
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/markdown/">
markdown
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/linux/">
linux
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/interpretability/">
interpretability
<span class="badge bg-secondary float-end me-2">2</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/hugging-face/">
hugging face
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/hexo/">
hexo
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/foundation-models/">
foundation models
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/foundation-model/">
foundation model
<span class="badge bg-secondary float-end me-2">1</span>
</a>
<a class="nav-link ps-3 border-bottom" aria-current="page" href="tags/extreme-large/">
extreme-large
<span class="badge bg-secondary float-end me-2">1</span>